Xi Chen

Orcid: 0000-0003-0883-0124

Affiliations:
  • Tencent Inc., Jarvis Research Center, Shenzhen, China
  • Zhejiang University, Computer Science and Technology Institute, Hangzhou, China (former)


According to our database1, Xi Chen authored at least 72 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A review of recommender systems based on knowledge graph embedding.
Expert Syst. Appl., 2024

Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging.
CoRR, 2024

News Recommendation With Word-Related Joint Topic Prediction.
IEEE Access, 2024

InstructEdit: Instruction-Based Knowledge Editing for Large Language Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Unveiling the Pitfalls of Knowledge Editing for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Editing Language Model-Based Knowledge Graph Embeddings.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Active relation discovery: Towards general and label-aware open relation extraction.
Knowl. Based Syst., December, 2023

Embracing ambiguity: Improving similarity-oriented tasks with contextual synonym knowledge.
Neurocomputing, October, 2023

An assertion and alignment correction framework for large scale knowledge bases.
Semantic Web, 2023

Knowledge-augmented Few-shot Visual Relation Detection.
CoRR, 2023

Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Vision, Deduction and Alignment: An Empirical Study on Multi-Modal Knowledge Graph Alignment.
Proceedings of the IEEE International Conference on Acoustics, 2023

Schema-adaptable Knowledge Graph Construction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Can We Edit Multimodal Large Language Models?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fusing Fine-Grained Information of Sequential News for Personalized News Recommendation.
Proceedings of the Database and Expert Systems Applications, 2023

Class Lifelong Learning for Intent Detection via Structure Consolidation Networks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Understanding Patient Query With Weak Supervision From Doctor Response.
IEEE J. Biomed. Health Informatics, 2022

Active Relation Discovery: Towards General and Label-aware Open Relation Extraction.
CoRR, 2022

Ontology-enhanced Prompt-tuning for Few-shot Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CLINER: Clinical Interrogation Named Entity Recognition.
Proceedings of the Knowledge Science, Engineering and Management, 2022

PAC-Bayes Information Bottleneck.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Finding Influential Instances for Distantly Supervised Relation Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs.
CoRR, 2021

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction.
CoRR, 2021

Interventional Aspect-Based Sentiment Analysis.
CoRR, 2021

Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Lifelong Learning Based Disease Diagnosis on Clinical Notes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Field Embedding: A Unified Grain-Based Framework for Word Representation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Is Visual Context Really Helpful for Knowledge Graph? A Representation Learning Perspective.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks.
CoRR, 2020

Correcting Knowledge Base Assertions.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

An Industry Evaluation of Embedding-based Entity Alignment.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
Structured Knowledge Base as Prior Knowledge to Improve Urban Data Analysis.
ISPRS Int. J. Geo Inf., 2018

Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction.
CoRR, 2018

Attention-Based Capsule Network with Dynamic Routing for Relation Extraction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016
Semantic Framework of Internet of Things for Smart Cities: Case Studies.
Sensors, 2016

Forecasting Public Transit Use by Crowdsensing and Semantic Trajectory Mining: Case Studies.
ISPRS Int. J. Geo Inf., 2016

ELM Meets Urban Big Data Analysis: Case Studies.
Comput. Intell. Neurosci., 2016

Social Media Meets Big Urban Data: A Case Study of Urban Waterlogging Analysis.
Comput. Intell. Neurosci., 2016

2015
Large-Scale Real-Time Semantic Processing Framework for Internet of Things.
Int. J. Distributed Sens. Networks, 2015

SparkRDF: Elastic Discreted RDF Graph Processing Engine With Distributed Memory.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Elastic Streaming Semantic Engine for Web of Things.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

2014
BioTCM-SE: A Semantic Search Engine for the Information Retrieval of Modern Biology and Traditional Chinese Medicine.
Comput. Math. Methods Medicine, 2014

HBaseSpatial: A Scalable Spatial Data Storage Based on HBase.
Proceedings of the 13th IEEE International Conference on Trust, 2014

LogMap family results for OAEI 2014.
Proceedings of the 9th International Workshop on Ontology Matching collocated with the 13th International Semantic Web Conference (ISWC 2014), 2014

Extending an ontology alignment system with BioPortal: a preliminary analysis.
Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference, 2014

Monitoring Urban Waterlogging Disaster Using Social Sensors.
Proceedings of the Semantic Web and Web Science - 8th Chinese Conference, 2014

2013
Variations on aligning linked open data ontologies.
Proceedings of the 8th International Workshop on Ontology Matching co-located with the 12th International Semantic Web Conference (ISWC 2013), 2013

Semantic similarity measures in ontology alignment.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Experiments Varying Semantic Similarity Measures and Reference Ontologies for Ontology Alignment.
Proceedings of the Semantic Web: ESWC 2013 Satellite Events, 2013

OWL reasoning over big biomedical data.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Data chaos: An entropy based MapReduce framework for scalable learning.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013


  Loading...